本の詳細
形式
ペーパーバック
ページ数
458
言語
英語
公開されました
Mar 26, 2015
出版社
Springer
ISBN-10
3319170902
ISBN-13
9783319170909
説明
The proceedings from the Third International Symposium on Statistical Learning and Data Sciences showcase the latest advancements and research findings presented by leading experts in the field. Reflecting a vibrant exchange of ideas, the compilation delves into innovative methodologies and applications of statistical learning that can be applied to real-world data challenges.
Spearheaded by renowned academics, the work highlights various perspectives on statistical methods, machine learning, and data analytics. It serves as an essential resource for researchers and practitioners striving to deepen their understanding and implementation of data-driven techniques in diverse domains. The rich discussions and findings emphasized within these proceedings aim to further inspire future exploration and development in statistical learning.
Spearheaded by renowned academics, the work highlights various perspectives on statistical methods, machine learning, and data analytics. It serves as an essential resource for researchers and practitioners striving to deepen their understanding and implementation of data-driven techniques in diverse domains. The rich discussions and findings emphasized within these proceedings aim to further inspire future exploration and development in statistical learning.